The Role of Artificial Intelligence and Embodiment in the Inclusion of Schools: an Analysis of the Didactic and Pedagogical Potential in Primary School
Parole chiave:
Artificial Intelligence, Embodiment, Inclusion, Students, Primary SchoolAbstract
Artificial Intelligence (AI) integrated with Embodiment-based educational practices has the potential to revolutionise the approach to inclusion in schools, opening up new avenues for learning and active student participation for an education that values diversity and promotes equality. Through a combination of quantitative and qualitative tools, such as the Ainscow Inclusion Scale, semi-structured interviews with teachers and students, and direct observation, this study demonstrates that the use of AI technologies to create embodied learning environments has a positive impact, not only in improving inclusion and participation, but also in influencing the motivation and engagement of students, particularly those with disabilities. The discussion of the findings is contextualised by a review of existing literature, which highlights the effectiveness of such strategies in promoting inclusive pedagogical practices. In conclusion, the study acknowledges the need for further long-term research and emphasises the importance of investing in this area.
Riferimenti bibliografici
Ainscow, M., Booth, T., & Dyson, A. (2006). Improving schools, developing inclusion. Routledge.
Belpaeme, T., Kennedy, J., Ramachandran, A., Scassellati, B., & Tanaka, F. (2018). Social robots for education: A review. Science Robotics, 3 (21), eaat5954.
Billinghurst, M., & Duenser, A. (2012). Augmented reality in the classroom. Computer, 45 (7), 56-63.
Broadbent, E. (2017). Interactions with robots: The truths we reveal about ourselves. Annual Review of Psychology, 68, 627-652.
Buccini, F. (2023). Come l’intelligenza artificiale sta cambiando l’educazione.
Buongiorno, F. (2023). Embodiment e pensiero algoritmico: Una prospettiva fenomenologica sul rapporto tra mondo della vita e intelligenza artificiale. Bollettino Filosofico, 38, 170-179.
García-Sanjuán, F., Martínez-Rodrigo, A., & García-García, J. M. (2020). Enhancing educational inclusion using artificial intelligence and robotics: A systematic review. IEEE Access, 8, 87015-87028.
Goodrich, M. A., & Schultz, A. C. (2007). Human-robot interaction: A survey. Foundations and Trends in Hu-man-Computer Interaction, 1 (3), 203-275.
Gunter, G. A., & Gunter, R. E. (2020). Technology and Teaching: Engaging Teachers to Transform Learning. Journal of Research on Technology in Education, 52(1), 1-20.
Hu, J., & Bartneck, C. (2018). The effects of embodiment on the perception of robots. In Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction (pp. 457-465).
Laster, A., & Lee, S. J. (2021). The Benefits of Inclusive Education: Fostering Empathy and Understanding in the Classroom. Journal of Educational Psychology, 113(4), 688-700.
Mancini, R., & Sebastiani, R. (2024). Miglioramento cognitivo attraverso l'intelligenza artificiale: esplorare l'im-patto di ChatGPT nell'istruzione. PAMPAEDIA-BOLLETTINO As. Pe. I, (196), 061-075.
Murray, J., & Hensley, M. K. (2020). Experiences of Inclusion: Teacher and Student Perspectives in Technolo-gy-Enhanced Classrooms. Educational Technology Research and Development, 68(3), 1151-1167.
##submission.downloads##
Pubblicato
Come citare
Fascicolo
Sezione
Licenza
Copyright (c) 2025 Fabiola Palmiero, Maria Giovanna Tafuri, Federica Badii Esposito

Questo lavoro è fornito con la licenza Creative Commons Attribuzione - Non commerciale - Non opere derivate 4.0 Internazionale.